ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 1. Vol. 29. 2023

DOI: 10.17587/it.29.47-50

Yu. V. Polishuk, Dr. Tech. Sc., Professor of the Department of System Programming,
Moscow Technical University of Communications and Informatics, Moscow, Russian Federation

Graphodynamic System with Information Entropy Control as a Means of Control of Production Systems

Ensuring the quality of products and increasing the level of safety in the operation of production systems are the main tasks of all industries. The second task is the most relevant for technogenic systems of increased danger, which include, among other things, the production systems of the oil and gas industry. The management of production systems and the solution of selected tasks is carried out by the decision maker, using the parameters obtained during the diagnosis and monitoring of the system. The formation of a complex of diagnostic parameters of the production system is implemented by the decision maker, taking into account the loss of information, characterized by incomplete control of the parameters. When identifying the state of the production system, the decision maker must take into account not only the values of diagnostic parameters, but also the value of the information entropy of the system that they form, since "entropy characterizes the uncertainty of control, i.e. its management quality". Thus, the identification of the state of the production system and its management are only possible with the mandatory control of the information entropy of the system by the decision maker. The latter confirms the relevance of the synthesis of control systems with control of the state of their information entropy. Consider the production system as a graphodynamic system. The data characterizing its input, output, internal state and control action will be presented in the form of graphs. Through the analysis of diagnostic parameters, the decision maker identifies the state of the production system. A certain time is spent on obtaining and analyzing diagnostic parameters, which in some cases can be significant and lead to an increase in the value of the information entropy of the controlled system, which leads to a mismatch between the actual state of the system and its image processed by the decision maker. In the conditions of big production systems, taking into account funding constraints or other reasons, the frequency of monitoring the diagnostic parameters of the system may be violated. This leads to a significant increase in the information entropy of the controlled system and, accordingly, to a low quality of its control. The proposed method for controlling a collector-beam system for collecting products from a gas condensate field makes it possible to improve the quality of its control by implementing control of its state of information entropy. The developed graph-dynamic model of data storage of a collector-beam system for collecting gas condensate field products allows the decision maker to analyze its state in any period of operation.
Keywords: production systems management; graphicdynamic systems; control of information entropy

P. 47–50

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